Triple

T26993212
Position Surface form Disambiguated ID Type / Status
Subject British Zone of Occupied Germany E679908 entity
Predicate militaryGovernor P133454 FINISHED
Object Bernard Montgomery NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bernard Montgomery | Statement: [British Zone of Occupied Germany, militaryGovernor, Bernard Montgomery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militaryGovernor
Context triple: [British Zone of Occupied Germany, militaryGovernor, Bernard Montgomery]
  • A. colonialGovernor
    Indicates a relationship where one entity serves as the governor or chief administrative authority of a colony belonging to another political power.
  • B. territorialGovernorOf chosen
    Indicates that one entity serves as the official governing authority or administrator of a specified territory.
  • C. militaryDirector
    Indicates that one entity serves as the military director or chief military authority for another entity.
  • D. provinceGovernor
    Indicates that one entity serves as the governor or chief administrative authority of a particular province in relation to the other entity.
  • E. governorDuringWar
    Indicates that an individual held the position of governor during a specified war or armed conflict.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69eeeb5138ac8190b3c273ddc659a54f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f67c9fe7b48190b79b4041357edb49 completed May 2, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69f678cc272081909e5c70f1bc7407f0 completed May 2, 2026, 10:21 p.m.
Created at: April 27, 2026, 6:53 a.m.